The Research Of Optimization Approach Combined Fishing Strategy With PSO

The intelligent optimization approach is a cutting-edge issue in the computer domain and it is also one of a researching focus for the computer scholars. So making a study on the optimization algorithm of which the particle swarm optimization (PSO) being combined into the optimization approach on fishing strategy (FSOA) has an application background and a practical significance.The main contents of this dissertation are summarized as follows:(1) The background,purpose and significance of the research on intelligent optimization approach are summarized. The principle and the process of FSOA and PSO are separately introduced and related research progresses are also introduced.(2) An optimization algorithm of which PSO being combined into FSOA is presented (FPSOA), based on analyzing the shortcoming of FSOA and PSO. The algorithm is that every fisher makes use of an agile, mobile and multipoint random casting fishnet strategy in the fishing activity, and chooses different detection strategy according to different fishing circumstances. It shows, from the experimental and simulated results of typical functions'optimization, that the optimization approach has the performance of a rapid convergence rate, a high accurate numerical solution and a good stability.(3) FPSOA is applied to the restrained optimization problem. For the optimization problems which mixed integer and real number, the upper and lower bound method is used to solve integer optimization problems. It shows, from the experimental and simulated results of restrained engineering functions'optimization, that the optimization approach has a better performance in global optimization and a better performance of convergence rate.